基于市场的输电网扩张规划中的入侵杂草优化特征

M. Gardeshi, A. Rahimi-Kian
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引用次数: 4

摘要

本文提出了一种基于市场的输电规划方法。该方法涵盖了放松管制环境下输电规划的主要目标,如促进市场参与者之间的竞争,提供非歧视的电力市场,提高电力系统的可靠性,增加系统运行的灵活性,降低投资成本,降低拥堵成本等。本文的主要贡献如下:1)采用基于虚拟节点需求(FND)的直流最优潮流(DCOPF)计算节点边际电价(LMP)。最近的研究只关注LMP的能量项。该方法涵盖了LMP的丢失和拥塞条款。II)采用概率最优潮流(POPF)对不确定性进行建模。III)本文考虑新参数为概率期望不供给能量(PEENS)。该参数作为概率可靠性判据。IV)本研究采用入侵杂草优化算法(Invasive Weed Optimization, IWO)作为多目标优化算法。V)本文采用层次分析法(AHP)和TOPSIS方法作为决策过程。该模型已应用于ieee24总线测试系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Invasive weed optimization feature in market-based transmission expansion planning
In this paper, a new method for market-based transmission planning is proposed. This method covers the main objectives of transmission planning in deregulated environment such as facilitating competition among market participants, providing non-discriminate electricity market, improving the reliability of power system, increasing the flexibility of system operation, reducing the investment cost, and decreasing the congestion cost. The main contributions of this paper are organized as follows: I) For calculating the locational marginal price (LMP), the fictitious nodal demand (FND)-based DC optimal power flow (DCOPF) is applied. The recent works only focus on the energy term of LMP. The loss and congestion terms of LMP are covered by this method. II) To modeling the Uncertainties, the probabilistic optimal power flow (POPF) is used. III) The new parameter as probabilistic expected energy not supplied (PEENS) is considered in this paper. This parameter is applied as probabilistic reliability criterion. IV) In this work, Invasive Weed Optimization (IWO) is used as multi-objective optimization algorithm. V) The Analytic hierarchy process (AHP) and TOPSIS method are used as decision making process in this paper. This proposed model is applied to IEEE 24 bus test system.
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